Manager

Posted 2 Days Ago
Be an Early Applicant
Hiring Remotely in Uttar Pradesh, IND
Remote or Hybrid
Expert/Leader
Information Technology • Database • Consulting
The Role
Leads the design and implementation of scalable AI systems, including foundation model selection, context layers, agentic loops, testing, observability, and cloud integration. Translates business needs into AI solutions, owns technical architecture, and provides leadership and mentorship to AI engineers. Requires deep AI engineering expertise, strong cross-functional collaboration, and continuous learning across LLM, Generative AI, and agentic technologies.
Summary Generated by Built In

We are searching for a visionary Manager to join our dynamic team and drive the development of next-generation AI systems. In this role, you will have the opportunity to shape the future of AI technology and make a significant impact on our organization. As the Manager, you will be responsible for designing and implementing innovative AI solutions, from selecting foundation models to engineering agentic loops. Your expertise will be crucial in translating complex business problems into efficient and scalable AI-powered systems.

Responsibilities
  • Own the end-to-end technical architecture of AI solutions, ensuring seamless integration and optimal performance.
  • Select and evaluate foundation models for various AI applications, considering their suitability and potential impact.
  • Design context layers that enhance the performance and adaptability of AI systems in different scenarios.
  • Engineer agentic loops to enable autonomous decision-making and problem-solving capabilities in AI agents.
  • Collaborate closely with product and business teams to understand their needs and translate them into effective AI solutions.
  • Conduct rigorous harness testing to ensure the reliability and robustness of AI systems before deployment.
  • Implement robust production observability practices to monitor and optimize AI systems in real-world environments.
  • Stay updated with the latest advancements in AI, including Large Language Models (LLMs), Generative AI (GenAI), and Agentic AI.
  • Provide technical leadership and mentorship to a team of AI engineers, fostering a culture of innovation and continuous learning.

 

Qualifications
  • A bachelor's degree in Computer Science, Engineering, or a related field is required, with a master's degree preferred.
  • Minimum 10 years of experience in AI engineering, with a proven track record of designing and implementing large-scale AI systems.
  • Deep expertise in AI architecture, including foundation model selection, context-layer design, and agentic loop engineering.
  • Hands-on experience with harness testing and production observability practices for AI systems.
  • Strong understanding of cloud technologies and their integration with AI solutions.
  • Familiarity with cutting-edge AI technologies such as LLMs, GenAI, and Agentic AI is highly desirable.
  • Excellent problem-solving and analytical skills, with the ability to translate complex business problems into technical AI solutions.
  • Effective communication and collaboration skills to work closely with cross-functional teams.
  • Ability to lead and mentor a team, fostering a positive and innovative work environment.
  • Passion for staying updated with the latest advancements in AI and a commitment to continuous learning.

 

Skills Required

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • Master's degree
  • At least 10 years of experience in AI engineering
  • Proven experience designing and implementing large-scale AI systems
  • Deep expertise in AI architecture, foundation model selection, context-layer design, and agentic loop engineering
  • Hands-on experience with harness testing and production observability for AI systems
  • Strong understanding of cloud technologies and their integration with AI solutions
  • Familiarity with LLMs, Generative AI, and Agentic AI
  • Strong problem-solving and analytical skills
  • Ability to translate complex business problems into technical AI solutions
  • Effective communication and cross-functional collaboration skills
  • Ability to lead and mentor an AI engineering team
  • Commitment to continuous learning and staying current with AI advancements

EXL Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about EXL and has not been reviewed or approved by EXL.

  • Healthcare Strength — Medical plan options include HSA, HRA, and PPO choices, with additional health-related programs such as disability coverage and an employee assistance program. Feedback suggests these options provide meaningful flexibility and coverage breadth for many roles.
  • Leave & Time Off Breadth — Up to 20 days of paid time off, plus federal holidays and paid sick and safe time, are highlighted. Feedback suggests this leave structure is a notable benefit alongside core compensation.
  • Retirement Support — A traditional and Roth 401(k) with up to a 3% company match and full vesting after one year is described. Feedback suggests this match and vesting timeline help bolster long-term savings.

EXL Insights

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The Company
HQ: New York, NY
30,246 Employees
Year Founded: 1999

What We Do

Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.

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